});
      }
    }
    return false;
  });

  if (typeof $.fn.suggestor === "function") {
    $("#query").suggestor({
      ajaxinfo: {
        url: contextPath + "/api/v1/suggest-words",
        fn: ["_default", "content", "title"],
        num: 10,
        lang: $("#langSearchOption").val()
      },
      boxCssInfo: {
        border: "1px solid rgba(82, 168, 236, 0.5)",

func (initialSnapShot LeakDetect) CompareCurrentSnapshot() []string {
	var stackDiff []string
	for _, g := range pickRelevantGoroutines() {
		// Identify the Go routines those were not present in the initial snapshot.
		// In other words a stack diff.
		if !initialSnapShot.relevantRoutines[g] {
			stackDiff = append(stackDiff, g)
		}
	}
	return stackDiff
}

							/></option>
						<option value="pdf" <c:if test="${as.filetype.contains('pdf')}">selected</c:if>><la:message
								key="labels.advance_search_filetype_pdf"
							/></option>
						<option value="word" <c:if test="${as.filetype.contains('word')}">selected</c:if>><la:message
								key="labels.advance_search_filetype_word"
							/></option>
						<option value="excel" <c:if test="${as.filetype.contains('excel')}">selected</c:if>><la:message

//	{
//		outcode(int($1), &$2, int($4.Reg), &$6);
//	}
	ADDD	F1, F2, F3

//	LFCMP freg ',' freg
//	{
//		outcode(int($1), &$2, 0, &$4);
//	}
	CMPEQD	F1, F2


//
// WORD
//
	WORD	$1	// 00000001
	NOOP		// 00000000
	SYNC		// 0000000f

//
// NOP
//
//	LNOP comma // asm doesn't support the trailing comma.
//	{
//		outcode(int($1), &nullgen, 0, &nullgen);
//	}

file: org.apache.spark.rdd.RDD[String] = s3a://testbucket/testdata MapPartitionsRDD[1] at textFile at <console>:24

scala> val counts = file.flatMap(line => line.split(" ")).map(word => (word, 1)).reduceByKey(_ + _)
counts: org.apache.spark.rdd.RDD[(String, Int)] = ShuffledRDD[4] at reduceByKey at <console>:25

scala> counts.saveAsTextFile("s3a://testbucket/wordcount")
```

application/mac-binhex40       hqx              # Macintosh binhexed archives
application/mspowerpoint       ppt              # Microsoft Powerpoint
application/msword             doc              # Microsoft Word
application/octet-stream       bin exe ani      # Binary File
application/oda                oda
application/pagemaker          pm5 pt5 pm       # PageMaker
application/pdf                pdf              # Adobe Acrobat

</p>

<p>
Reads of memory locations larger than a single machine word
are encouraged but not required to meet the same semantics
as word-sized memory locations,
observing a single allowed write <i>w</i>.
For performance reasons,
implementations may instead treat larger operations
as a set of individual machine-word-sized operations
in an unspecified order.
This means that races on multiword data structures

    /**
     * Enumeration of supported API format types.
     */
    protected enum FormatType {
        /** Search API format. */
        SEARCH,
        /** Label API format. */
        LABEL,
        /** Popular word API format. */
        POPULARWORD,
        /** Favorite API format. */
        FAVORITE,
        /** Favorites API format. */
        FAVORITES,
        /** Ping API format. */
        PING,

 * equivalence classes.
 *
 * @author Gregory Kick
 */
@GwtCompatible
@NullMarked
final class RelationshipTester<T> {
  interface ItemReporter {
    String reportItem(Item<?> item);
  }

  /**
   * A word about using {@link Equivalence}, which automatically checks for {@code null} and
   * identical inputs: This sounds like it ought to be a problem here, since the goals of this class

application/mac-binhex40       hqx              # Macintosh binhexed archives
application/mspowerpoint       ppt              # Microsoft Powerpoint
application/msword             doc              # Microsoft Word
application/octet-stream       bin exe ani      # Binary File
application/oda                oda
application/pagemaker          pm5 pt5 pm       # PageMaker
application/pdf                pdf              # Adobe Acrobat